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Conference Papers Year : 2021

QUESTO – An Ontology for Questionnaires

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Abstract

QUESTO is an ontology formalizing questionnaires and related entities, such as the processes of administering the questionnaire or capturing the answers. It is built according to the OBO Foundry methodology and is a component of an ontological model that aims to enable interoperability between various clinical data sources in the context of a Learning Health System. This article presents the main entities of QUESTO and provides an example of its application: a relational data model is generated from the ontology and used to retrieve data from public health questionnaires stored in a REDCap database.
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Dates and versions

hal-03053318 , version 1 (12-12-2020)

Licence

Attribution - NonCommercial - NoDerivatives - CC BY 4.0

Identifiers

  • HAL Id : hal-03053318 , version 1

Cite

Paul Fabry, Adrien Barton, Jean-François Ethier. QUESTO – An Ontology for Questionnaires. 11th International Conference on Biomedical Ontologies (ICBO 2020), Sep 2020, Bolzano, Italy. pp.B.1-12. ⟨hal-03053318⟩
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